AI isn't replacing accountants - it's replacing the jobs that used to train them

Leroy Kerry
May 28, 2026

The Financial Times analysed 50,000 job postings from Deloitte, EY, KPMG, and PwC between 2020 and early 2026. The finding that's been circulating in accounting circles this week: for the first time, the Big Four are posting more AI roles than audit roles.

That headline is true and also slightly misleading. The more important number is this: entry-level openings across the Big Four fell 44% year-over-year in 2024. KPMG cut some graduate cohorts by nearly 30%.

AI isn't replacing the senior accountant. It's replacing the work that turned a junior into one.

The pyramid model is done

The Big Four have always run on a pyramid. Lots of junior staff doing foundational work, seniors reviewing and packaging it, partners selling it. The model worked because labour at the base was relatively cheap and relatively plentiful.

That base is being automated. KPMG already uses AI to scan millions of accounting entries and flag exceptions for human review. EY's AI assists 80,000 tax professionals and handles over 3 million compliance cases a year. The four firms spent over $9 billion building this infrastructure.

The result is what Olivier Khatib, who wrote a widely read analysis of this shift, calls a "diamond model": a thinner base, a broader middle of technical and managerial experts, and AI handling the volume work underneath.

What the new AI roles actually require

The FT only counted roles where working with machine learning or generative AI was a core requirement, not vague "digital transformation" titles. Specific examples included a KPMG role for a manager directing AI to automate tasks via prompt engineering, an EY senior associate helping clients integrate AI into their tax functions, and a Deloitte position requiring eight years of AI strategy experience.

Around 80% of these postings required programming expertise. But a meaningful share were non-technical: product managers overseeing AI audit tools, and people who could sit between the model and the client and verify that outputs held up. That last category is the one most experienced tax professionals are best positioned to fill.

What this means for the profession

Two things are both true right now. The accounting industry will likely grow, because cheaper and faster services create more demand. And the skills that get you hired are changing fast.

The junior who used to learn by doing the data entry now needs to learn by reviewing what AI produced. That's a different skill, and most firms aren't training for it yet. The ones that do will have a structural advantage that compounds every tax season.

For anyone earlier in their career: the credential that matters in 18 months is not whether you can use AI tools. It's whether you can audit their output, catch failure modes, and explain your review process to a partner or a regulator.

We built the AI Tax Specialist and Engineer course for exactly that. Free, self-paced, seven modules, CPE eligible.

Enroll for free here

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